Table 5 Bivariate and multivariate logistic regression analysis of factors associated with poor food consumption status during enforcing and partial lifting of COVID-19 lockdown among 200 non- slum households in Nansana municipality, Wakiso district, Uganda

 HH (200)

29(14.5)

171(85.5)

25(12.5)

175(87.5)

 Female (49)

9(18.4)

40 (81.6)

1.3(1.1–2.5)*

1.2(1.1–2.3)*

6 (12.2)

43(87.8)

1.1(0.9–1.3)

1.1(0.8–1.3)

 Male (151)

20(13.2)

131(86.8)

1.00 (ref)

1.00 (ref)

19(12.6)

129(85.4)

1.00 (ref)

1.00 (ref)

 18–24 (16)

2(12.5)

14(87.5)

1.00 (ref)

1.00 (ref)

2(12.5)

14(87.5)

1.00 (ref)

1.00 (ref)

 25–44 (154)

23(14.9)

131(85.1)

1.2(0.8–1.4)

1.2(0.9–1.3)

20(13.0)

134 (83)

1.1(0.8–1.3)

1.1(0.9–1.4)

  ≥ 45 (30)

4(13.3)

26(82.7)

1.1(0.9–1.2)

1.1(0.8–1.2)

3(13.3)

27(82.7)

1.1(0.7–1.2)

1.1(0.6–1.3)

 1–5 (157)

23(14.6)

134(85.4)

1.1(0.9–1.2)

1.2(1.1–1.3)

21(13.4)

136(86.7)

0.8(0.7–0.9)*

1.1(0.8–1.1)

 6–10 (43)

6(14)

37(86.0)

1.00 (ref)

1.00 (ref)

4(9.3)

39(82.7)

1.00 (ref)

1.00 (ref)

 Daily wage^a (70)

17(24.3)

53(75.7)

1.3(1.2–1.9)*

1.2(1.1–1.5)*

15(21.4)

55 (78.6)

1.3(1.1–1.8)*

1.2(1.1–1.6)*

 Unemployed^b(24)

10(41.7)

14(58.3)

1.4(1.2–4.3)*

1.3(1.1–3.8)*

9(37.5)

15(62.5)

1.5(1.3–2.2)*

1.4(1.2–1.9)*

 Formal Employment (106)

2(1.9)

104(98.1)

1.00 (ref)

1.00 (ref)

1(0.94)

105(99.6)

1.00 (ref)

1.00 (ref)

 None (11)

2(18.2)

9(81.8)

1.00 (ref)

1.00 (ref)

3(27.3)

8(72.7)

1.00 (ref)

1.00 (ref)

 Primary (23)

4(17.4)

19(82.6)

1.2(0.6–1.2)

1.1(0.7–1.2)

6(26.1)

17(73.9)

1.6(0.8–1.5)

1.5(0.7–1.4)

 Secondary (39)

7(17.9)

32(82.1)

1.2(0.4–1.3)

1.1(0.3–1.3)

10(25.6)

29(74.4)

1.6(0.6–1.5)

1.5(0.5–1.4)

 Tertiary(127)

16(12.6)

111(87.4)

0.4(0.3–0.8)*

0.2(0.1–0.6)*

6(4.7)

121(95.3)

2.1(2.3–2.9)*

1.8(1.6–2.6)*

 Owner (102)

10(9.8)

92(90.2)

1.00(ref)

1.00 (ref)

8(7.8)

94(92.2)

1.00 (ref)

1.00 (ref)

 Tenant (92)

19(20.7)

69(79.3)

1.4(1.3–2.4)

1.3(1.1–2.1)

17(18.5)

81(81.5)

1.3(1.2–2.4)*

1.2(1.1–2.1)*